[converter] Fix Cumprod and ImageProjectiveTransformV3 tests

tfjs-converter/src/operations/executors/image_executor.ts

@@ -93,7 +93,7 @@ export const executeOp: InternalOpExecutor =
               string;
           const fillMode =
               getParamValue('fillMode', node, tensorMap, context) as string;
-          return [tfOps.image.transform(
+          return [ops.image.transform(
               images as Tensor4D,
               transforms as Tensor2D,
               interpolation.toLowerCase() as 'bilinear' | 'nearest',

tfjs-converter/src/operations/executors/image_executor_test.ts

@@ -145,7 +145,8 @@ describe('image', () => {
         node.attrParams['fillMode'] = createStrAttr('constant');
         node.inputNames = ['input1', 'input2', 'input3', 'input4'];
 
-        const input2 = [tfOps.tensor1d([2])];
+        const input1 = [tfOps.tensor4d([1], [1, 1, 1, 1])];
+        const input2 = [tfOps.tensor2d([1, 2, 3, 4, 5, 6, 7, 8], [1, 8])];
         const input3 = [tfOps.tensor1d([4, 5])];
         const input4 = [tfOps.scalar(3)];
 

tfjs-converter/src/operations/executors/reduction_executor.ts

@@ -111,7 +111,7 @@ export const executeOp: InternalOpExecutor =
               getParamValue('exclusive', node, tensorMap, context) as boolean;
           const reverse =
               getParamValue('reverse', node, tensorMap, context) as boolean;
-          return [tfOps.cumprod(
+          return [ops.cumprod(
               getParamValue('x', node, tensorMap, context) as Tensor, axis,
               exclusive, reverse)];
         }

tfjs-converter/src/operations/executors/reduction_executor_test.ts

@@ -85,16 +85,15 @@ describe('reduction', () => {
     });
     describe('Cumprod', () => {
       it('should call tfOps.cumprod', () => {
-        spyOn(tfOps, 'cumprod');
         node.op = 'Cumprod';
         node.attrParams.exclusive = createBoolAttr(true);
         node.attrParams.reverse = createBoolAttr(false);
         node.inputNames = ['input1', 'input2'];
         node.inputParams.axis = createNumberAttrFromIndex(1);
         const input2 = [tfOps.scalar(2)];
-        executeOp(node, {input1, input2}, context);
+        executeOp(node, {input1, input2}, context, spyOpsAsTfOps);
 
-        expect(tfOps.cumprod).toHaveBeenCalledWith(input1[0], 2, true, false);
+        expect(spyOps.cumprod).toHaveBeenCalledWith(input1[0], 2, true, false);
       });
     });
     describe('Cumsum', () => {